Yuxuan Liang

Orcid: 0000-0003-2817-7337

According to our database¹, Yuxuan Liang authored at least 111 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

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PhD thesis

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On csauthors.net:

Bibliography

2024

Flipover outperforms dropout in deep learning.

[BibT_eX]

[DOI]

Vis. Comput. Ind. Biomed. Art, December, 2024

Predicting Collective Human Mobility via Countering Spatiotemporal Heterogeneity.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., May, 2024

Brave the Wind and the Waves: Discovering Robust and Generalizable Graph Lottery Tickets.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

End-to-End Delay Modeling via Leveraging Competitive Interaction Among Network Flows.

[BibT_eX]

[DOI]

IEEE Trans. Netw. Serv. Manag., April, 2024

UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Foundation Models for Time Series Analysis: A Tutorial and Survey.

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[DOI]

CoRR, 2024

Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Temporal Fluid Dynamics Modeling via Physical-Awareness and Parameter Diffusion Guidance.

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[DOI]

CoRR, 2024

OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

DynST: Dynamic Sparse Training for Resource-Constrained Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2024

Spatio-Temporal Field Neural Networks for Air Quality Inference.

[BibT_eX]

[DOI]

CoRR, 2024

COLA: Cross-city Mobility Transformer for Human Trajectory Simulation.

[BibT_eX]

[DOI]

CoRR, 2024

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Cross-Domain Data Fusion in Urban Computing: Taxonomy, Advances, and Outlook.

[BibT_eX]

[DOI]

CoRR, 2024

BiVRec: Bidirectional View-based Multimodal Sequential Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Modeling Spatio-temporal Dynamical Systems with Neural Discrete Learning and Levels-of-Experts.

[BibT_eX]

[DOI]

CoRR, 2024

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.

[BibT_eX]

[DOI]

CoRR, 2024

Deep Learning for Multivariate Time Series Imputation: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Position Paper: What Can Large Language Models Tell Us about Time Series Analysis.

[BibT_eX]

[DOI]

CoRR, 2024

Two Heads Are Better Than One: Boosting Graph Sparse Training via Semantic and Topological Awareness.

[BibT_eX]

[DOI]

CoRR, 2024

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2024

CityCAN: Causal Attention Network for Citywide Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

SENCR: A Span Enhanced Two-Stage Network with Counterfactual Rethinking for Chinese NER.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

MSGNet: Learning Multi-Scale Inter-series Correlations for Multivariate Time Series Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Mixed-Order Relation-Aware Recurrent Neural Networks for Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., September, 2023

EGraph: Efficient Concurrent GPU-Based Dynamic Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., June, 2023

AutoSTG<sup>+</sup>: An automatic framework to discover the optimal network for spatio-temporal graph prediction.

[BibT_eX]

[DOI]

Artif. Intell., May, 2023

Earthfarseer: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting Approach.

[BibT_eX]

[DOI]

CoRR, 2023

MACE: A Multi-pattern Accommodated and Efficient Anomaly Detection Method in the Frequency Domain.

[BibT_eX]

[DOI]

CoRR, 2023

Attend Who is Weak: Enhancing Graph Condensation via Cross-Free Adversarial Training.

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[DOI]

CoRR, 2023

When Urban Region Profiling Meets Large Language Models.

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[DOI]

CoRR, 2023

Towards Unifying Diffusion Models for Probabilistic Spatio-Temporal Graph Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook.

[BibT_eX]

[DOI]

CoRR, 2023

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

The Snowflake Hypothesis: Training Deep GNN with One Node One Receptive field.

[BibT_eX]

[DOI]

CoRR, 2023

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery with Supplementary Materials.

[BibT_eX]

[DOI]

CoRR, 2023

LaDe: The First Comprehensive Last-mile Delivery Dataset from Industry.

[BibT_eX]

[DOI]

CoRR, 2023

Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects.

[BibT_eX]

[DOI]

CoRR, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[BibT_eX]

[DOI]

CoRR, 2023

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2023

Do We Really Need Graph Neural Networks for Traffic Forecasting?

[BibT_eX]

[DOI]

CoRR, 2023

Deciphering Spatio-Temporal Graph Forecasting: A Causal Lens and Treatment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Maintaining the Status Quo: Capturing Invariant Relations for OOD Spatiotemporal Learning.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Graph Neural Processes for Spatio-Temporal Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Searching Lottery Tickets in Graph Neural Networks: A Dual Perspective.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Contrastive Trajectory Similarity Learning with Dual-Feature Attention.

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

DiffSTG: Probabilistic Spatio-Temporal Graph Forecasting with Denoising Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Primacy Effect of ChatGPT.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Fragile is Relation Extraction under Entity Replacements?

[BibT_eX]

[DOI]

Proceedings of the 27th Conference on Computational Natural Language Learning, 2023

AirFormer: Predicting Nationwide Air Quality in China with Transformers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Visual Cascade Analytics of Large-Scale Spatiotemporal Data.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2022

Predicting Citywide Crowd Flows in Irregular Regions Using Multi-View Graph Convolutional Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Spatio-Temporal Meta Learning for Urban Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Fine-Grained Urban Flow Inference.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

Federated Forest.

[BibT_eX]

[DOI]

IEEE Trans. Big Data, 2022

VECtor: A Versatile Event-Centric Benchmark for Multi-Sensor SLAM.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2022

Content-Attribute Disentanglement for Generalized Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Access, 2022

Should We Rely on Entity Mentions for Relation Extraction? Debiasing Relation Extraction with Counterfactual Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

GraphCache: Message Passing as Caching for Sentence-Level Relation Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Beyond Geo-localization: Fine-grained Orientation of Street-view Images by Cross-view Matching with Satellite Imagery.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Multi-Behavior Hypergraph-Enhanced Transformer for Sequential Recommendation.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Time-Aware Neighbor Sampling on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Periodic residual learning for crowd flow forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

When do contrastive learning signals help spatio-temporal graph forecasting?

[BibT_eX]

[DOI]

Proceedings of the 30th International Conference on Advances in Geographic Information Systems, 2022

DualFormer: Local-Global Stratified Transformer for Efficient Video Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Optimal battery selection for solar storage system.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computers, 2022

TrajFormer: Efficient Trajectory Classification with Transformers.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Time-Aware Neighbor Sampling for Temporal Graph Networks.

[BibT_eX]

[DOI]

CoRR, 2021

PRNet: A Periodic Residual Learning Network for Crowd Flow Forecasting.

[BibT_eX]

[DOI]

Chengxin Wang

Yuxuan Liang

Gary Tan

CoRR, 2021

Structure-Aware Label Smoothing for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Phase function estimation from a diffuse optical image via deep learning.

[BibT_eX]

[DOI]

CoRR, 2021

Decoupling Long- and Short-Term Patterns in Spatiotemporal Inference.

[BibT_eX]

[DOI]

CoRR, 2021

Spatio-Temporal Graph Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Mixup for Node and Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

CurGraph: Curriculum Learning for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fine-Grained Urban Flow Prediction.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

Adaptive Data Augmentation on Temporal Graphs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Directed Graph Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learning Multi-context Aware Location Representations from Large-scale Geotagged Images.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Modeling Trajectories with Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Dynamic Public Resource Allocation Based on Human Mobility Prediction.

[BibT_eX]

[DOI]

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

GraphCrop: Subgraph Cropping for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2020

Directed Graph Convolutional Network.

[BibT_eX]

[DOI]

CoRR, 2020

Revisiting Convolutional Neural Networks for Urban Flow Analytics.

[BibT_eX]

[DOI]

CoRR, 2020

Progressive Supervision for Node Classification.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Digraph Inception Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

NodeAug: Semi-Supervised Node Classification with Data Augmentation.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoST: Efficient Neural Architecture Search for Spatio-Temporal Prediction.

[BibT_eX]

[DOI]

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Unsupervised Learning of Disentangled Location Embeddings.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning to Generate Maps from Trajectories.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

UrbanFM: Inferring Fine-Grained Urban Flows.

[BibT_eX]

[DOI]

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.

[BibT_eX]

[DOI]

Nirandika Wanigasekara

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

HyperST-Net: Hypernetworks for Spatio-Temporal Forecasting.

[BibT_eX]

[DOI]

CoRR, 2018

GeoMAN: Multi-level Attention Networks for Geo-sensory Time Series Prediction.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

M-NSGA-II: A Memetic Algorithm for Vehicle Routing Problem with Route Balancing.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence: From Theory to Practice, 2017

Inferring Traffic Cascading Patterns.

[BibT_eX]

[DOI]

Yuxuan Liang

Zhongyuan Jiang

Yu Zheng

Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2017

2016

Predicting Urban Water Quality with Ubiquitous Data.

[BibT_eX]

[DOI]

CoRR, 2016

Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Yuxuan Liang

Timeline

Legend:

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On csauthors.net:

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